Author(s): S. Buchmueller, U. Weidmann & A. Nash
Accurately estimating station dwell time is critical for timetable planning.
importance has increased as railways seek to improve timetable stability and
network efficiency, while serving more passengers and different types of
This research consisted of developing a station dwell time
model in cooperation with the Swiss Federal Railways (SBB).
The proposed model estimates dwell times based on the input parameters:
vehicle type (number, position, width and level of doorways), infrastructure
(platform level) and demand (number and distribution of passengers).
research divides dwell time into five sub-processes: door-unblocking, opening
doors, passenger boarding/alighting, closing doors and train dispatching.
sub-process was evaluated separately to understand its influence on dwell time.
The SBB’s automatic passenger counting system was used to record the number
of passengers boarding and alighting at each door and the beginning/ending time
of each sub-process.
During eight months over three million measurements were
made on four different vehicle types operating on 20 different routes.
were analyzed and used to develop the dwell time model.
This paper describes the research methodology, the structure of the dwell time
model, the data collection system and presents a summary of results including
statistical distribution and influence factors of sub-process times.
timetable planning, dwell time, dwell process, boarding/alighting
process, railway process times, S-Bahn train, regional train, automatic
passenger counting system.
Size: 1,498 kb
Paper DOI: 10.2495/978-1-84564-500-7/10
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